Sold by: PineconeÂ
Deployed on AWS
*only for accepting private offers. Pinecone is a fully managed serverless vector database that makes it easy to add vector search to production applications. The Pinecone Vector Database combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search.
Overview
Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search.
Usage-based Billing You will be billed at the end of the month for storage consumed. More information can be found at https://www.pinecone.io/pricing/Â
Annual Commitments Purchasing this product involves an annual commitment which allows you to purchase Pinecone with volume-based discounts. Please first reach out to your sales representative or https://www.pinecone.io/contact/Â to discuss custom pricing and discounts before placing an order on this page.
To get started without an annual commitment, please go to Pinecone's Pay As You Go product listing.
Highlights
- The Pinecone Vector Database provides fast, fresh, and filtered vector search: Ultra-low query latency, even with billions of items. Live index updates when you add, edit, or delete data. Combine vector search with metadata filters for more relevant and faster results.
- Enterprise-grade security and compliance: SOC 2 Type II certified, GDPR-ready, and built to keep data from your Vector Database secure.
- Fully managed and Easy to use: Get started with an easy-to-use API or the Python client. No need to maintain infrastructure, monitor services, or troubleshoot algorithms.
Details
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Buyer guide
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Commit | Total Commitment Value | $100,000.00 |
Dimensions summary
The "Commit" dimension on AWS Marketplace represents an annual financial commitment to Pinecone's vector database service, offering volume-based discounts compared to pay-as-you-go pricing. While the specific discount structure requires discussion with Pinecone's sales team, the commitment covers the same core pricing components: serverless compute usage (measured in Read, Write, and Store Units), and data transfer costs. Customers should contact Pinecone directly to determine their optimal commitment level based on expected usage patterns before proceeding with the annual subscription through AWS Marketplace.
Top-of-mind questions for buyers like you
What is the annual commitment option on AWS Marketplace, and how does it differ from pay-as-you-go?
The annual commitment option allows customers to receive volume-based discounts by committing to a predetermined spending level for one year. The exact discount structure is customized based on expected usage patterns and requires discussion with Pinecone's sales team before purchasing through AWS Marketplace.
How is billing calculated under the annual commitment plan?
Usage is still measured and billed monthly based on actual consumption of serverless compute (Read, Write, and Storage Units), and data transfer. The annual commitment establishes a minimum spending threshold that provides access to discounted rates compared to standard pay-as-you-go pricing.
What should I do before purchasing the annual commitment plan on AWS Marketplace?
You should contact Pinecone's sales team through their website to discuss your expected usage patterns and receive a customized quote with volume-based discounts. This consultation will help determine the appropriate commitment level and ensure you understand the potential cost savings compared to pay-as-you-go pricing.
Vendor refund policy
Please contact us at support@pinecone.ioÂ
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
This is a fully managed service with technical support included with Standard and Enterprise plans. For more information regarding support SLAs, please see each plan's details on the pricing page. support@pinecone.io support@pinecone.ioÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Pinecone
By Qdrant
By Weaviate
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Vector Search Performance
Supports ultra-low query latency with vector search capabilities for billions of items
Real-time Index Management
Enables live index updates for adding, editing, and deleting data dynamically
Metadata Filtering
Provides advanced filtering capabilities to combine vector search with metadata for enhanced search relevance
Distributed Infrastructure
Utilizes distributed infrastructure design to ensure high performance and reliability at scale
Security Compliance
Offers enterprise-grade security with SOC 2 Type II certification and GDPR readiness
Vector Search Capability
High-performance vector search engine with advanced embedding storage and retrieval mechanisms
Metadata Filtering
Extended filtering support on additional metadata fields alongside vector embeddings
Open-Source Architecture
Fully open-source vector database with flexible deployment and scalability options
Neural Network Integration
Native support for neural network encoders and embedding transformations
API-Driven Design
Convenient programmatic interface for storing, searching, and managing vector data
Vector Database
Low-latency vector database supporting multimodal media types including text and images
Search Capabilities
Advanced vector similarity search, hybrid search, and filtered search functionality
AI Model Integration
Optional integrations with multiple AI platforms including SageMaker, Bedrock, OpenAI, Cohere, Anthropic, and HuggingFace
Cloud Architecture
Cloud-native database with fault tolerance and serverless infrastructure
Programming Language Support
Accessible through multiple client-side programming languages for flexible implementation
Standard contract
No
No
No
Customer reviews
0 ratings
0 AWS reviews
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42 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Mohit G.
ideal for machine learning, AI applications and similarity search
Reviewed on Sep 12, 2024
Review provided by G2
What do you like best about the product?
It is specialised in AI driven use cases with real time and low latency search giving seamless integration into machine learning workflows with scalable infrastruture optimized for unstructured and semi-structured data in AI applications.
What do you dislike about the product?
It has limited focus that is related only with the vector data with no major focus on Business intelligence in data transformation tool.
Also it's use case is little complex with lack of ecosystem integration.
Also it's use case is little complex with lack of ecosystem integration.
What problems is the product solving and how is that benefiting you?
It is solving the issue related with AI vector data generated from the app.
Akhil G.
God of creating embeddings
Reviewed on Sep 11, 2024
Review provided by G2
What do you like best about the product?
when iam creating embeddings,compared to other products,it feels hassle free& cheap.
What do you dislike about the product?
I am the beta tester of pinecone AI assiatant,it is not production ready so it feels like only for testing,i am expecting for the production ready version.
What problems is the product solving and how is that benefiting you?
hassle free functions and embeddings data sets
Satwik L.
Pinecone assistant beta user
Reviewed on Sep 10, 2024
Review provided by G2
What do you like best about the product?
I have been using pinecone for embeddings and it is cheaper and reliable compared to other embedding services.
What do you dislike about the product?
I dislike the overall feel which feels lightweighed for the product service documentation.
I love to see pinecone assistant in deployable version because it is powerful yet it is in the beta version only for testing not for production
I love to see pinecone assistant in deployable version because it is powerful yet it is in the beta version only for testing not for production
What problems is the product solving and how is that benefiting you?
Creating embeddings at ease without any big pricing.
Good support from team.
Good support from team.
Carlos O.
Solid option for vector DB
Reviewed on Aug 28, 2024
Review provided by G2
What do you like best about the product?
Easy to use. very reliable and fast. Competitive price
What do you dislike about the product?
Maybe some extra features would be nice, and some more clarity into its AKNN algo, which is hidden from the user
What problems is the product solving and how is that benefiting you?
Finding scientific documents in very large volumes of Data.
Stephen C.
Pinecone: The Backbone of Efficient Vector Search and Retrieval
Reviewed on Aug 23, 2024
Review provided by G2
What do you like best about the product?
Pinecone excels in providing a seamless, high-performance vector search experience. Its ease of use, combined with powerful features like real-time updates and scalability, makes it a go-to solution for managing complex vector data. The ability to effortlessly integrate with existing workflows and its top-notch customer support are definite highlights.
What do you dislike about the product?
While Pinecone is robust, the pricing can be a bit steep for smaller projects or startups. Additionally, more granular control over indexing options would enhance customization for advanced users. However, the benefits far outweigh these minor drawbacks.
What problems is the product solving and how is that benefiting you?
Pinecone is solving the complex challenge of efficient and scalable vector search. In an era where managing large volumes of high-dimensional data is critical, Pinecone's ability to index, search, and retrieve vectors quickly and accurately is a game-changer. For us, this means faster query responses, enhanced data retrieval accuracy, and the ability to focus on building better products rather than managing infrastructure. Pinecone's solution has drastically reduced the time and effort required to manage and search vector data, allowing our team to be more productive and innovative.